Vertical 02 · Financial Services

Research-analyst AI on MNPI —
designed against leakage, without lock-in

Investment research, restricted-list cross-checks, earnings-call summaries, peer-comp pulls — every workflow that would amplify your analysts touches material non-public information. The SEC, your CCO, and your prime broker all care about MNPI handling. VeilEngine’s finserv pack lets the workflows run with the audit trail regulators expect.

Primary frameworksSEC Reg S-P · SEC Rule 17a-4
BuyerCCO · CISO · Head of Research
Tier defaultTier 1 (gateway)
Audit-trail alternativeDesigned for 17a-4(f) ERS
RetentionDesigned for 6-yr WORM-equivalent retention (engagement-scoped; integrates with your records program)
Production timeline~6 weeks (typical)
The core problem

Your research team wants frontier AI on the deal pipeline — your CCO sees the leakage risk

A research analyst preparing a desk note touches: the restricted list, the live deal book, the earnings transcript pre-publication, the prime-broker exposure, and the firm’s position. Routing any of these to an unprotected LLM provider creates a textbook SEC Reg S-P safeguarding failure and gives FINRA an obvious 17a-4 books-and-records concern. So the workflow doesn’t run, and analysts paste fragments into chat interfaces — which is worse, just unobservable.

Unprotected baseline
Wire risk
workflowresearch_note.draft
Reg S-P safeguardingviolated
17a-4 audit trailnarrative log only
restricted-list checkpost-hoc, not at the wire
prime-broker disclosureunmeasurable
With VeilEngine

Issuer names are protected before the provider — with signed receipts designed for a 17a-4(f) audit trail

VeilEngine’s finserv vertical pack is designed to secure issuer identifiers, deal codes, and MNPI markers at the protection boundary. Restricted-list cross-checks run before any request leaves the firm. Signed per-request receipts are designed to compose into a 17a-4(f)-style audit-trail-alternative record and integrate with your firm’s WORM retention program (engagement-scoped). Provider routing respects per-jurisdiction DPA / data-residency obligations.

  • Restricted-list enforcement at the boundary — designed so the LLM does not see a restricted issuer name in the same context as the deal hypothesis
  • Designed for 17a-4(f) ERS / audit-trail requirements — signed per-request receipts and a per-session hash-linked chain as supporting books-and-records artifacts, subject to firm policy and counsel review (cross-session transparency-log inclusion proofs are on the roadmap)
  • Prime-broker exposure measurable — receipts attest to zero MNPI in provider payload, not assumed
  • Provider routing tunes cost — high-volume earnings-call summarization routes to GPT; thesis-stage analysis routes to Claude
Illustrative receipt // rcpt_fs_4e91 · sample values
Signed
workflowresearch_note.thesis_draft
vertical packfinserv (per engagement)
providerClaude Opus
protection tierTier 1 · gateway
restricted-list checkran pre-wire (illustrative)
MNPI markers in payload0 elements
session chainhash-linked
time-to-useful-answer28.6s
attestationsigned (offline-verifiable)
sha256:e8b3f1d4c5...
Finserv workflows in scope

Workflows your CCO and head of research sign off on together

Research-note thesis draft

Multi-source analyst draft on restricted-list candidates. Tier 1. ~30s TUA vs. ~3 days through compliance approval (illustrative).

Earnings-call summarization

Real-time earnings transcript summarization with peer-comp context. High-volume; routed to GPT for cost.

Peer-comp pulls

Quantitative + qualitative peer-comp analysis with protected issuer references. Tier 1.

Restricted-list cross-check

Pre-publication check that draft references and references-of-references clear the restricted list. Tier 1 gateway by default; Tier 0 client-side scoped per engagement for highest-sensitivity desks.

Client-suitability narrative

Reg BI / suitability documentation drafted from client profile + product disclosures. Tier 1.

Custom workflow

Bring the specific MNPI-adjacent workflow your CCO has blocked. We scope it during the regulatory audit.

FAQ

Financial-services AI governance, answered

Yes, if the workflow protects issuer identifiers, restricted-list context, and deal-sensitive markers before a provider sees the request. The finserv pack is designed so analysts get useful drafts while the firm keeps a record of what was protected, which provider served the request, and which controls ran before the wire.
Reg S-P focuses on safeguarding customer information and written information-protection procedures; SEC Rule 17a-4 focuses on records the firm can preserve and retrieve. Vertical Edge AI does not replace counsel or supervisory policy, but it gives those policies per-request evidence: protection decisions, routing, approval gates, and receipts that can be retained with the firm’s records program.
Start with workflows that are valuable but already blocked by compliance: earnings-call summaries with peer context, restricted-list checks, research-note thesis drafts, client-suitability narratives, and diligence memos. Each can be scoped around the data classes your CCO already worries about.
No. The evidence fabric feeds those systems. Your existing archive remains the system of record for supervisory retention; Vertical Edge AI supplies AI-specific artifacts those systems usually lack, including per-request protection receipts, routing history, and workflow approval state.
Yes. The cleanest first step is a single CCO-approved workflow with a clear exposure map and retention plan. Once the evidence pattern is accepted, the same controls can extend to adjacent research, client-service, and operating workflows without restarting the governance design.
Finserv engagement

Bring the desk note your CCO has blocked

We start with a discovery regulatory audit alongside your CCO and head of research. You receive a preliminary exposure map and a 17a-4 audit-trail plan as the diagnostic deliverable — yours to keep regardless of next steps.

Request a consultation Read SEC Reg S-P coverage →